Machine Learning for Kids Worksheet

AI for students lesson 2: How machines learn from examples · Set 472 · 40 questions

AI tip (Show, label, learn): Machine learning learns patterns from many labelled examples — a label is the right answer tag on each example. Good for training: many varied examples, correct labels, every type the model will meet, and separate new data for testing. Bad for training: very few examples, wrong or random labels, only one kind of example, blurry examples, testing on the training data.

1. 1.🔍 Which is the odd one out? (a) new data for testing (b) testing on training data (c) correct labels (d) checking labels twice
2. 2.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Science project groups are on the board” (a) spam (b) not spam
3. 3.Which of these is bad for training a model? (a) checking labels twice (b) photos in many lights (c) labels added at random (d) many varied examples
4. 4.🐶 To teach a model to spot dogs in photos, what do you give it? (a) a list of rules only (b) one single photo (c) many labelled photos (d) a song about dogs
5. 5.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Please buy milk on the way home” (a) not spam (b) spam
6. 6.📚 Usually, more good examples make a model… (a) slower to switch on (b) change colour (c) better at its task (d) forget everything
7. 7.🔍 Which is the odd one out? (a) correct labels (b) examples of every type (c) photos in many lights (d) only one kind of example
8. 8.📚 Good or bad for training a model: many varied examples? (a) bad for training (b) good for training
9. 9.True or false: “copies of one photo” is bad for training a model. (a) True (b) False
10. 10.📚 Good or bad for training a model: checking labels twice? (a) bad for training (b) good for training
11. 11.📚 Good or bad for training a model: correct labels? (a) good for training (b) bad for training
12. 12.True or false: the message “Share your OTP to get cashback” should be labelled “not spam”. (a) True (b) False
13. 13.Which of these is good for training a model? (a) correct labels (b) copies of one photo (c) very few examples (d) labels added at random
14. 14.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “The class picnic is on Friday at 8 am” (a) spam (b) not spam
15. 15.🏷️ What is a “label” in machine learning? (a) the font size (b) the right answer tag (c) a sticker on a laptop (d) the price
16. 16.True or false: the message “Please buy milk on the way home” should be labelled “not spam”. (a) False (b) True
17. 17.📚 Good or bad for training a model: new data for testing? (a) bad for training (b) good for training
18. 18.Which of these is good for training a model? (a) very few examples (b) wrong labels (c) photos in many lights (d) only one kind of example
19. 19.🧠 Machine learning is a way for computers to… (a) learn from data (b) clean screens (c) charge faster (d) print pages
20. 20.True or false: “clear, sharp examples” is good for training a model. (a) True (b) False
21. 21.True or false: “very few examples” is bad for training a model. (a) False (b) True
22. 22.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “Happy birthday! See you at lunch” (a) not spam (b) spam
23. 23.🏷️ You are labelling messages to train a spam filter. How should this one be labelled? “You won a free phone! Click now!” (a) spam (b) not spam
24. 24.True or false: the message “Earn ₹50,000 a day from home!!!” should be labelled “not spam”. (a) False (b) True
25. 25.Which of these is good for training a model? (a) only one kind of example (b) blurry, unclear photos (c) clear, sharp examples (d) labels added at random
26. 26.📚 Good or bad for training a model: wrong labels? (a) good for training (b) bad for training
27. 27.Which of these is bad for training a model? (a) clear, sharp examples (b) checking labels twice (c) only one kind of example (d) many varied examples
28. 28.📚 Good or bad for training a model: blurry, unclear photos? (a) bad for training (b) good for training
29. 29.True or false: the message “Match practice moved to 5 pm” should be labelled “not spam”. (a) False (b) True
30. 30.Which of these is good for training a model? (a) checking labels twice (b) only one kind of example (c) very few examples (d) blurry, unclear photos
31. 31.True or false: “labels added at random” is bad for training a model. (a) False (b) True
32. 32.True or false: “photos in many lights” is good for training a model. (a) False (b) True
33. 33.📚 Good or bad for training a model: photos in many lights? (a) bad for training (b) good for training
34. 34.📚 Good or bad for training a model: examples of every type? (a) bad for training (b) good for training
35. 35.🔍 Which is the odd one out? (a) correct labels (b) many varied examples (c) wrong labels (d) photos in many lights
36. 36.True or false: “checking labels twice” is good for training a model. (a) False (b) True
37. 37.Which of these is bad for training a model? (a) copies of one photo (b) checking labels twice (c) clear, sharp examples (d) examples of every type
38. 38.True or false: “copies of one photo” is good for training a model. (a) False (b) True
39. 39.🔍 Which is the odd one out? (a) labels added at random (b) new data for testing (c) wrong labels (d) copies of one photo
40. 40.True or false: the message “Happy birthday! See you at lunch” should be labelled “spam”. (a) False (b) True

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